End-of-life intravenous chemotherapy administration patterns in the treatment of Queensland lung and pancreas cancer patients: a 10-year retrospective analysis.

BACKGROUND: End-of-life (EOL) chemotherapy administration rates for solid tumours are 12-20% and are associated with a reduced quality of life, increased hospitalisation and incidence of death within an acute care facility. AIM: We sought to determine the rate of EOL chemotherapy in government and private hospitals and determine the impact on hospitalisations and location of death in lung and pancreatic cancer patients. METHODS: Data were obtained from the Queensland Oncology Repository between 2005 and 2014. Lung (n = 16 501) and pancreatic cancer (n = 4144) deaths were analysed. EOL chemotherapy was determined to be within 30 days of death. Demographics, location of treatment and death are reported. RESULTS: Chemotherapy was administered to 6518 (40%) lung cancer and 1694 (41%) pancreatic cancer patients. A total of 1474 (9%) and 477 (12%) patients, respectively, received EOL chemotherapy. EOL chemotherapy was more common in males and those with distant metastatic disease, while less likely in the elderly and those with a lower socioeconomic status. EOL chemotherapy was more prevalent in large hospitals and was more common in private compared with government hospitals for pancreatic cancer (30 vs 26%; P < 0.001), while it was similar for lung cancer (24 vs 22%; P = 0.115). Death after EOL chemotherapy compared with all cancer deaths was more common in an acute care facility (lung cancer: 60 vs 37%; P < 0.001; pancreatic cancer: 53 vs 36%; P < 0.001). CONCLUSIONS: EOL chemotherapy rates were similar to Australian yet marginally lower than international rates, with variation dependent on the size and type of facility and increased the rate of deaths within an acute care facility.

The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species.

In biology and biomedicine, relating phenotypic outcomes with genetic variation and environmental factors remains a challenge: patient phenotypes may not match known diseases, candidate variants may be in genes that haven't been characterized, research organisms may not recapitulate human or veterinary diseases, environmental factors affecting disease outcomes are unknown or undocumented, and many resources must be queried to find potentially significant phenotypic associations. The Monarch Initiative (https://monarchinitiative.org) integrates information on genes, variants, genotypes, phenotypes and diseases in a variety of species, and allows powerful ontology-based search. We develop many widely adopted ontologies that together enable sophisticated computational analysis, mechanistic discovery and diagnostics of Mendelian diseases. Our algorithms and tools are widely used to identify animal models of human disease through phenotypic similarity, for differential diagnostics and to facilitate translational research. Launched in 2015, Monarch has grown with regards to data (new organisms, more sources, better modeling); new API and standards; ontologies (new Mondo unified disease ontology, improvements to ontologies such as HPO and uPheno); user interface (a redesigned website); and community development. Monarch data, algorithms and tools are being used and extended by resources such as GA4GH and NCATS Translator, among others, to aid mechanistic discovery and diagnostics.

Nonbreast cancer incidence, treatment received and outcomes: Are there differences in breast screening attendees versus nonattendees?

While reductions in breast cancer mortality have been evident since the introduction of population-based breast screening in women aged 50-74 years, participation in cancer screening programs can be influenced by several factors, including health system and those related to the individual. In our study, we compared cancer incidence and mortality for several cancer types other than breast cancer, noncancer mortality and patterns of treatment amongst women who did and did not participate in mammography screening. All women aged 50-65 years enrolled on the Queensland Electoral Roll in 2000 were included. The study population was then linked to records from the population-based breast screening program and private fee-for-service screening options to establish screened and unscreened cohorts. Diagnostic details for selected cancers and cause of death were obtained from the Queensland Oncology Repository. We calculated incidence rate ratios and hazard ratios comparing screened and unscreened cohorts. Among screened compared to unscreened women, we found a lower incidence of cancers of the lung, cervix, head and neck and esophagus and an increase in colorectal cancers. Cancer mortality (excluding breast cancer) was 35% lower among screened compared to unscreened women and they were also about 23% less likely to be diagnosed with distant disease. Screened compared to unscreened women were more likely to receive surgery and less likely to receive no treatment. Our study adds further to the population data examining outcomes among women participating in mammography screening.

Apollo: Democratizing genome annotation.

Genome annotation is the process of identifying the location and function of a genome's encoded features. Improving the biological accuracy of annotation is a complex and iterative process requiring researchers to review and incorporate multiple sources of information such as transcriptome alignments, predictive models based on sequence profiles, and comparisons to features found in related organisms. Because rapidly decreasing costs are enabling an ever-growing number of scientists to incorporate sequencing as a routine laboratory technique, there is widespread demand for tools that can assist in the deliberative analytical review of genomic information. To this end, we present Apollo, an open source software package that enables researchers to efficiently inspect and refine the precise structure and role of genomic features in a graphical browser-based platform. Some of Apollo's newer user interface features include support for real-time collaboration, allowing distributed users to simultaneously edit the same encoded features while also instantly seeing the updates made by other researchers on the same region in a manner similar to Google Docs. Its technical architecture enables Apollo to be integrated into multiple existing genomic analysis pipelines and heterogeneous laboratory workflow platforms. Finally, we consider the implications that Apollo and related applications may have on how the results of genome research are published and made accessible.

The Planteome database: an integrated resource for reference ontologies, plant genomics and phenomics.

The Planteome project (http://www.planteome.org) provides a suite of reference and species-specific ontologies for plants and annotations to genes and phenotypes. Ontologies serve as common standards for semantic integration of a large and growing corpus of plant genomics, phenomics and genetics data. The reference ontologies include the Plant Ontology, Plant Trait Ontology and the Plant Experimental Conditions Ontology developed by the Planteome project, along with the Gene Ontology, Chemical Entities of Biological Interest, Phenotype and Attribute Ontology, and others. The project also provides access to species-specific Crop Ontologies developed by various plant breeding and research communities from around the world. We provide integrated data on plant traits, phenotypes, and gene function and expression from 95 plant taxa, annotated with reference ontology terms. The Planteome project is developing a plant gene annotation platform; Planteome Noctua, to facilitate community engagement. All the Planteome ontologies are publicly available and are maintained at the Planteome GitHub site (https://github.com/Planteome) for sharing, tracking revisions and new requests. The annotated data are freely accessible from the ontology browser (http://browser.planteome.org/amigo) and our data repository.

The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across species.

The correlation of phenotypic outcomes with genetic variation and environmental factors is a core pursuit in biology and biomedicine. Numerous challenges impede our progress: patient phenotypes may not match known diseases, candidate variants may be in genes that have not been characterized, model organisms may not recapitulate human or veterinary diseases, filling evolutionary gaps is difficult, and many resources must be queried to find potentially significant genotype-phenotype associations. Non-human organisms have proven instrumental in revealing biological mechanisms. Advanced informatics tools can identify phenotypically relevant disease models in research and diagnostic contexts. Large-scale integration of model organism and clinical research data can provide a breadth of knowledge not available from individual sources and can provide contextualization of data back to these sources. The Monarch Initiative (monarchinitiative.org) is a collaborative, open science effort that aims to semantically integrate genotype-phenotype data from many species and sources in order to support precision medicine, disease modeling, and mechanistic exploration. Our integrated knowledge graph, analytic tools, and web services enable diverse users to explore relationships between phenotypes and genotypes across species.

Relative survival of patients with lymphoma in Queensland according to histological subtype.

OBJECTIVE: To evaluate relative survival of patients in Queensland with different lymphoma subtypes; to determine whether outcomes have improved with recent changes in treatment; to evaluate relative survival according to place of residence and socio-economic status. DESIGN: Retrospective population-based study; analysis of data from the Oncology Analysis System, an online reporting tool for cancer incidence and outcomes in Queensland. PARTICIPANTS: Patients over 15 years of age diagnosed with lymphoma in Queensland during 1993-2012. MAIN OUTCOME MEASURES: Relative survival by lymphoma subtype; influence of place of residence and socio-economic status, age group, sex, year of diagnosis (in 5-year bands), and Pharmaceutical Benefits Scheme funding of rituximab for treating B-cell lymphomas on relative survival. RESULTS: 9509 people (56% men) were diagnosed with lymphoma during 1993-2012. Five-year relative survival improved significantly between 1993-1997 and 2008-2012 for patients with diffuse large B-cell lymphoma (47%; 95% CI, 42-51% v 64%; 95% CI, 61-67%) or follicular lymphoma (62%; 95% CI, 57-66% v 88%; 95% CI, 85-90%; each P < 0.001). Rituximab became available for treating these subtypes during 2003-2006. There was no change in relative survival for patients with Hodgkin lymphoma (81%; 95% CI, 76-85% v 80%; 95% CI, 75-84%; P = 0.22). The only statistically significant difference according to place of residence or socio-economic status was inferior relative survival for rural residents with diffuse large B-cell lymphoma (hazard ratio, 1.14; 95% CI, 1.01-1.28). CONCLUSION: Relative survival for patients with B-cell non-Hodgkin lymphoma improved significantly with the introduction of rituximab as first-line therapy in Australia.

Geographic variation in the intended choice of adjuvant treatments for women diagnosed with screen-detected breast cancer in Queensland.

BACKGROUND: Although early diagnosis and improved treatment can reduce breast cancer mortality, there still appears to be a geographic differential in patient outcomes. This study aims to determine and quantify spatial inequalities in intended adjuvant (radio-, chemo- and hormonal) therapy usage among women with screen-detected breast cancer in Queensland, Australia. METHODS: Linked population-based datasets from BreastScreen Queensland and the Queensland Cancer Registry during 1997-2008 for women aged 40-89 years were used. We adopted a Bayesian shared spatial component model to evaluate the relative intended use of each adjuvant therapy across 478 areas as well as common spatial patterns between treatments. RESULTS: Women living closer to a cancer treatment facility were more likely to intend to use adjuvant therapy. This was particularly marked for radiotherapy when travel time to the closest radiation facility was 4 + h (OR =0.41, 95 % CrI: [0.23, 0.74]) compared to <1 h. The shared spatial effect increased towards the centres with concentrations of radiotherapy facilities, in north-east (Townsville) and south-east (Brisbane) regions of Queensland. Moreover, the presence of residual shared spatial effects indicates that there are other unmeasured geographical barriers influencing women's treatment choices. CONCLUSIONS: This highlights the need to identify the additional barriers that impact on treatment intentions among women diagnosed with screen-detected breast cancer, particularly for those women living further away from cancer treatment centers.

Utility of 30-day mortality as a quality metric for palliative radiation treatment: A population-based analysis from Queensland, Australia.

INTRODUCTION: Palliative radiotherapy (PRT) is frequently used to treat symptoms of advanced cancer, however benefits are questionable when life expectancy is limited. The 30-day mortality rate after PRT is a potential quality indicator, and results from a recent meta-analysis suggest a benchmark of 16% as an upper limit. In this population-based study from Queensland, Australia, we examined 30-day mortality rates following PRT and factors associated with decreased life expectancy. METHODS: Retrospective population data from Queensland Oncology Repository was used. Study population data included 22,501 patients diagnosed with an invasive cancer who died from any cause between 2008 and 2017 and had received PRT. Thirty-day mortality rates were determined from the date of last PRT fraction to date of death. Cox proportional hazards models were used to identify factors independently associated with risk of death within 30 days of PRT. RESULTS: Overall 30-day mortality after PRT was 22.2% with decreasing trend in more recent years (P = 0.001). Male (HR = 1.20, 95% CI = 1.13-1.27); receiving 5 or less radiotherapy fractions (HR = 2.97, 95% CI = 2.74-3.22 and HR = 2.17, 95% CI = 2.03-2.32, respectively) and receiving PRT in a private compared to public facility (HR = 1.61, 95% CI = 1.51-1.71) was associated with decreased survival. CONCLUSION: The 30-day mortality rate in Queensland following PRT is higher than expected and there is scope to reduce unnecessarily protracted treatment schedules. We encourage other Australian and New Zealand centres to examine and report their own 30-day mortality rate following PRT and would support collaboration for 30-day mortality to become a national and international quality metric for radiation oncology centres.

Human papillomavirus associated oropharyngeal cancer now the most common mucosal head and neck cancer in Queensland.

INTRODUCTION: The profile and outcomes of head and neck cancer throughout Australia has changed over the past decade. The aim of this study was to perform a population-based analysis of incidence, demographics, stage, treatments and outcomes of patients diagnosed with oropharyngeal squamous cell carcinoma (OPSCC), with a particular focus on HPV-associated disease. METHODS: This was a retrospective analysis of prospectively collected data within the Queensland Oncology Repository (QOR) and analysed by the Queensland Cancer Control Analysis Team. The cohort included patients diagnosed in Queensland between 1 January 2015 and 31 December 2019. Outcome measures included incidence of new OPSCC cases, age-standardised rates (ASR) (3-year average), demographics, p16 status, stage (8th Edition American Joint Commission on Cancer), treatments, and 2- and 5-year overall survival. RESULTS: There were 1527 newly diagnosed OPSCC, representing 96% (1527/1584) of all oropharyngeal cancers. It was the most common head and neck cancer diagnosed, with oral cavity cancer being the second most common (n = 1171). Seventy-seven percent were p16 positive (1170/1527), of which 87% (1019/1170) were male. The median age was 61 years and 49% (568/1170) presented with Stage I disease. The ASR was 6.3/100,000, representing a 144% incidence increase since 1982 (2.6/100,000). Radiotherapy was utilised in 91% of p16+ cases with 2- and 5- year overall survival of 89% and 79%, respectively. CONCLUSION: OPSCC is now the most common mucosal head and neck cancer diagnosed in Queensland, having surpassed oral cavity cancer. The majority are HPV-associated (p16+), presenting with early-stage disease with a favourable prognosis.

ZFIN: enhancements and updates to the Zebrafish Model Organism Database.

ZFIN, the Zebrafish Model Organism Database, http://zfin.org, serves as the central repository and web-based resource for zebrafish genetic, genomic, phenotypic and developmental data. ZFIN manually curates comprehensive data for zebrafish genes, phenotypes, genotypes, gene expression, antibodies, anatomical structures and publications. A wide-ranging collection of web-based search forms and tools facilitates access to integrated views of these data promoting analysis and scientific discovery. Data represented in ZFIN are derived from three primary sources: curation of zebrafish publications, individual research laboratories and collaborations with bioinformatics organizations. Data formats include text, images and graphical representations. ZFIN is a dynamic resource with data added daily as part of our ongoing curation process. Software updates are frequent. Here, we describe recent additions to ZFIN including (i) enhanced access to images, (ii) genomic features, (iii) genome browser, (iv) transcripts, (v) antibodies and (vi) a community wiki for protocols and antibodies.

Development and implementation of a population-based breast cancer quality index in Queensland, Australia.

BACKGROUND: While quality indicators (QI) are relatively commonplace, QIs focusing on breast cancer treatment and outcomes have not been previously developed in Australia. We describe the development and implementation of the Queensland Breast Cancer Quality Index (BCQI) and report on trends in performance indicators over time. METHODS: Development of the BCQI was overseen by a clinician-led quality assurance committee covering several clinical disciplines. Using a population-based dataset of female patients diagnosed with breast cancer from 2007 to 2016 (n = 27,541) we examined trends in indicators over time. RESULTS: The BCQI includes two quality dimensions (Effective and Accessible) and 14 indicators for public and private cancer services. Rates of re-excision following breast conservation surgery (BCS) and conversion of BCS to mastectomy reduced over time (p < 0.001 and p = 0.005, respectively). BCS was less common for women living outside a major city (p < 0.001), who had their surgery in a public (p < 0.001) or low volume hospital (p < 0.001). CONCLUSIONS: Application of the BCQI at a population-level demonstrated our results are comparable to, and in some cases superior to other jurisdictions. We identified some areas where improvement over time has occurred, while also identifying some outcomes requiring further investigation. POLICY SUMMARY: The BCQI is a well-established and valuable tool for measuring and monitoring breast cancer care. Practice indicators provide useful information to assist with identifying services performing well as well as those that may benefit from improvement.

Breast-cancer mortality in screened versus unscreened women: Long-term results from a population-based study in Queensland, Australia.

OBJECTIVE: In the context of a mature mammographic screening programme, the aim of this population-based study was to estimate rates of breast-cancer mortality among participants versus non-participants in Queensland, Australia. METHODS: The Queensland Electoral Roll was used to identify women aged 50-65 in the year 2000 (n = 269,198). Women with a prior history of invasive or in situ breast cancer were excluded (n = 6,848). The study population was then linked to mammography records from BreastScreen Queensland together with the Wesley Breast Screening Clinic (the largest provider of private screening in Queensland) to establish a screened cohort (n = 187,558) and an unscreened cohort (n = 74,792). Cohort members were matched and linked to cancer notifications and deaths through the state-based Queensland Oncology Repository. Differences in breast-cancer mortality between the two cohorts were measured using Cox proportional hazards regression. RESULTS: After 16 years of follow-up, women in the screened cohort showed a 39% reduction in breast-cancer mortality compared to the unscreened cohort (HR = 0.61, 95%CI = 0.55-0.68). Cumulative mortality over the same period was 0.47% and 0.77% in the screened and unscreened cohorts, respectively. CONCLUSIONS: This study found a significant reduction in breast-cancer mortality for women who participated in mammographic screening compared to unscreened women. Our findings of a breast-cancer mortality benefit for women who have mammographic screening are in line with other observational studies.

Cancer Incidence, Mortality, and Survival for Children, Adolescents, and Young Adults in Queensland Between 1987 and 2016.

Purpose: Cancer remains the most common cause of disease-related death among young people and carries a significant burden. In the absence of prior state-based Australian epidemiological studies, this retrospective cohort study reviewed all cases of invasive cancer diagnosed in Queensland children, adolescents, and young adults (AYAs) (0-39 years) from 1987 to 2016 using the Queensland Oncology Repository (QOR). Methods: Cancers were classified according to Surveillance, Epidemiology and End Results (SEER) AYA site recode. Age-standardized rates (ASRs) were calculated. JoinPoint regression examined trends in ASRs across three age cohorts, for three decades (1987-1996, 1997-2006, and 2007-2016). Results: In total, 3,576 children aged 0-14 years (ASR = 15.2/100,000), 6,441 aged 15-24 years (ASR = 39.3/100,000), and 29,923 (ASR = 122.6/100,000) aged 25-39 years were diagnosed. Incidence increased for female children, and leukemia was the most common diagnosis. For those 15-24 years, incidence increased initially before decreasing and was higher than other nationally reported rates. For those 25-39 years, incidence increased. For the older cohorts, the most common diagnosis was melanoma. All cohorts demonstrated a decline in mortality and improvement in 5-year relative survival, with those 0-14 years demonstrating the greatest gains. The lowest survival for all cohorts was associated with central nervous system tumors. Conclusion: These results highlight areas in need of further investigation to improve survival, reduce the burden of cancer for young people, and aid service delivery. Future studies should focus on cancer biology, early detection, barriers in access to clinical trials, innovative models of care, improved data collection, and patient-reported outcomes.

Outcomes of multimodality breast screening for women at increased risk of familial breast cancer.

BACKGROUND: While population-based breast screening for women over the age of 50 years is a generally accepted and proven health strategy, the role of breast screening specifically among women at high risk of familial breast cancer has remained controversial. Indeed, there are very few services specifically offering a breast-screening program for women at high risk of familial breast cancer. METHODS: In 1999 a Familial Breast Cancer Screening Clinic (FBCSC) was established at the North Brisbane BreastScreen Queensland Service to provide a regular multimodality screening program utilizing clinical breast examination, breast ultrasound, and mammography for women at higher risk of hereditary breast cancer and with entry into the program commencing from the age of 30 years. RESULTS: Since its inception, a total of 2440 women have participated in the FBCSC. A total 7051 breast-screening examinations have been performed on these participants, with 53 breast cancers being diagnosed, including 8 in situ ductal carcinomas, 38 invasive ductal carcinomas, and 7 invasive lobular carcinomas. The mean size of the cancers was 16 mm (range = 1-45 mm), and of the 45 invasive cancers, 60% were less than or equal to 15 mm in size. The overall axillary node positive rate was 24.5% (13/53). The invasive cancer detection rate for first-round screening was 8.3 cancers per 1000 women screened, with 5.2 cancers per 1000 women detected on subsequent round screening. CONCLUSIONS: The results from this service demonstrate that multimodality screening for women at high risk of familial breast cancer and including women of younger age is effective and appropriate, with very acceptable cancer detection rates and pathological cancer characteristics being observed consistent with early-stage detection. The colocated siting of this service within a BreastScreen Queensland facility has proven to be efficient and cost effective.

The Zebrafish Information Network: the zebrafish model organism database provides expanded support for genotypes and phenotypes.

The Zebrafish Information Network (ZFIN, http://zfin.org), the model organism database for zebrafish, provides the central location for curated zebrafish genetic, genomic and developmental data. Extensive data integration of mutant phenotypes, genes, expression patterns, sequences, genetic markers, morpholinos, map positions, publications and community resources facilitates the use of the zebrafish as a model for studying gene function, development, behavior and disease. Access to ZFIN data is provided via web-based query forms and through bulk data files. ZFIN is the definitive source for zebrafish gene and allele nomenclature, the zebrafish anatomical ontology (AO) and for zebrafish gene ontology (GO) annotations. ZFIN plays an active role in the development of cross-species ontologies such as the phenotypic quality ontology (PATO) and the gene ontology (GO). Recent enhancements to ZFIN include (i) a new home page and navigation bar, (ii) expanded support for genotypes and phenotypes, (iii) comprehensive phenotype annotations based on anatomical, phenotypic quality and gene ontologies, (iv) a BLAST server tightly integrated with the ZFIN database via ZFIN-specific datasets, (v) a global site search and (vi) help with hands-on resources.

Trends in myeloma relative survival in Queensland by treatment era, age, place of residence, and socioeconomic status.

Relative survival (RS) in myeloma has improved in younger but not older patients (≥80 years) with treatment advances. Whether place of residence or socioeconomic status (SES) affect RS is unknown. We used the Queensland cancer registry to calculate the five-year RS of myeloma patients diagnosed between 1982 and 2014. This period was divided into three eras: (1) 1982-1995 chemotherapy alone; (2) 1996-2007 autologous stem cell transplantation; (3) 2008-2014 novel agents (proteasome inhibitors and IMIDs). 6025 patients were diagnosed from 1982 to 2014. RS improved across eras: (1) 30% vs. (2) 43% vs. (3) 53% (p < .001 (2) vs. (1); p < .001 (3) vs. (2)). RS improved across all age groups, including patients ≥80 years. Patients with disadvantaged SES (39% vs. affluent 46%; p < .001) and rural patients (40% vs. urban 45%; p < .001) had an inferior RS. RS has improved across all ages with treatment advances.

Regional nodal metastasis and 5-year survival in patients with thin melanoma in Queensland: a population-based study.

BACKGROUND: Optimal management of regional lymph nodes for thin cutaneous melanoma is uncertain. We evaluated regional lymph node involvement and 5-year melanoma-specific survival (MSS) in patients with thin (≤1 mm) primary melanoma. METHODS: Patients with a melanoma, American Joint Committee on Cancer Staging 8th Edition pT1a (<0.8 mm) or pT1b (ulceration; and/or 0.8-1.0 mm), diagnosed during 2001-2015 were identified from the Queensland Oncology Repository. We extracted demographic, pathology and clinical details, including sentinel lymph node biopsy (SLNB), regional nodal dissection and nodal recurrence. Poisson regression was used to assess recurrence risk in patients who did not undergo SLNB. The 5-year MSS was calculated using the Kaplan-Maier method with Cox regression to compare survival outcomes according to SLNB performance. RESULTS: Of the 27 824 eligible patients, 240 (0.9%) underwent SLNB. One hundred and seventy-eight patients (0.6%) without SLNB had nodal recurrence. Of the 4848 patients with a pT1b lesion, 166 (3.4%) had SLNB with 12 (7.2%) positive; of the remainder, 99 (2.1%) had clinical recurrence. Risk of recurrence was higher in males, nodular subtype and T1b lesions and lower if patients were aged >60 years. The 5-year MSS was similar for observed and SLNB cohorts (99.66% versus 98.92%) but worse for T1b lesions (98.90%) and clinical nodal recurrence (66.89%). CONCLUSION: Overall prognosis for T1 melanoma is excellent with nodal involvement being rare. However, the American Joint Committee on Cancer 8th Edition T1b melanoma correlates with significantly worse 5-year MSS and increased regional nodal recurrence (notably for 0.8-1.0 mm lesions with ulceration). Further characterization of high-risk groups for nodal positivity that impacts patient outcome is needed for the pT1 melanoma cohort.

Epidemiological trends of neuroendocrine tumours over three decades in Queensland, Australia.

INTRODUCTION: While neuroendocrine tumours (NETs) account for only a small proportion of cancer diagnoses, incidence has been rising over time. We examined incidence, mortality and survival over three decades in a large population-based registry study. METHODS: This retrospective study included all cases (n = 4580) of NETs diagnosed from 1986 to 2015 in Queensland, Australia. We examined directly age-standardised incidence and mortality rates. The impact on overall survival according to demographic factors and primary site was modelled using multivariable Cox proportional hazards regression (HR). Cause-specific and relative survival were estimated using the Kaplan-Meier survival function. RESULTS: Annual incidence increased from 2.0 in 1986 to 6.3 per 100,000 in 2015, while mortality remained stable. The most common primary site was appendix followed by lung, small intestine and rectum. Rectal, stomach, appendiceal and pancreatic NETs had the greatest rate increase, while lung NETs decreased over the same period. Five-year cause-specific survival improved from 69.4% during 1986-1995 to 92.6% from 2006 to 2015. Survival was highest for appendiceal and rectal NETs and lowest for pancreas and unknown primary sites. The risk of dying within five years of diagnosis was about 40% higher for males (HR = 1.41, 95%CI 1.20-1.65) and significantly higher for patients aged over 40 years compared to younger patients (p < 0.001). CONCLUSION: This study, including 30 years of data, found significantly increasing rates of NETs and confirms results from elsewhere. Increasing survival over time in this study, likely reflects increased awareness, improvements in diagnostic imaging, greater use of endoscopy and colonoscopy, and the development of new therapies.

To stent or not to stent: the use of transanastomotic biliary stents in liver transplantation and patient outcomes.

BACKGROUND: There is no substantial evidence for the use of biliary stents in bile duct reconstruction during liver transplantation. METHOD: A longitudinal, retrospective cohort study was performed to compare biliary complications between stented and non-stented patients between 2011 and 2015 at the Princess Alexandra Hospital, Brisbane, Australia. RESULTS: We found no significant difference in biliary complications between stented and non-stented groups. Stented patients were 3.31 times as likely to require subsequent intervention, mainly in the form of stent removal. CONCLUSION: These results suggest that there is limited benefit in the placement of endobiliary stents in liver transplantation. Given that this was purely an observational study, causality cannot be proven and a prospective cohort trial would be beneficial in further defining these relationships.